粒子群优化算法

粒子滤波的ＭＡＴＬＡＢ程序，比较基础。一个目标检测。(Particle filter MATLAB procedures, basis of comparison. A target detection.)

Matlab的Optimization软件包，虽然能很好地解决线性规划问题，但对于无解和有无穷个解地情况，结果不能让人满意，本人编了几个函数用于打印单纯形表。(Matlab Optimization package, Although able to solve linear programming problems, but no solution and a solution to the endless, the results are not satisfying. I compiled several functions for printing simplex table.)

利用双谱分析信号的二阶非线性，检测信号的二次相位耦合(Spectral analysis of signals using two second-order nonlinear quadratic phase coupling detection signal)

追踪红色物体使用此代码在运行MATLAB和跟踪红色物体红色着色的对象将被阴影红色在输出视频和也X和Y坐标将被提及的

GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].(GloptiPoly 3: moments, optimization andsemidefinite programming.Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem ofMoments (GPM), an infinite-dimensional optimization problem which can be viewed asan extension of the classical problem of moments [8] . From a theoretical viewpoint, theGPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to citea few. In addition, and despite a rather simple and short formulation, the GPM has alarge number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For anaccount of various methodologies as well as some of potential applications, the interestedreader is referred to [ 1, 2] and the nice collection of papers [5].)

说明：  数值计算牛顿迭代法的matlab源程序 说明如下： ％fun----input,the part as the form of f(x) in the equation f(x)=0 ％ ini----input,sets the starting point to ini ％ err----input,sets admissible error ％ sol----output,returns the root of equation(Numerical calculation of the Newton iteration matlab source described as follows: fun---- input, the part as the form of f (x) in the equation f (x) = 0 ini---- input, sets the starting point to ini err---- input, sets admissible error sol---- output, returns the root of equation)

GBM 基于蒙特卡洛法的股票价格预测MATLAB模型(GBM Stock Price Forecasting Model)

绘制脑电地形图的程序，里面包含绘图函数及相关说明(A program for drawing the map of electroencephalogram .It contains the drawing function and the related instructions)

运用matlab语言描述小波分析在信号处理中的应用。(Based on matlab signal processing of wavelet analysis.)

导航制导率的matlab模拟M文件，非比例制导率。(Rate Matlab simulation of navigation-guided M-file)